David Pierce

Reinforcement Learning · 1995

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 5 citations into it; #853 of 2,242 by trust here, #1,778 by citations

Whom David Pierce trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Longxin Lin
2. Dana Angluin
3. Teuvo Kohonen
4. Erkki Oja
5. Mark B. Ring

Who trusts David Pierce overall

1. Benjamin Kuipers
2. Andrea Censi
3. Joseph Modayil
4. Auke Jan Ijspeert
5. Adam White
6. Jan Koutník
7. Richard M. Murray
8. Moritz Tenorth
9. Richard S. Sutton
10. Toshimitsu Masuzawa

Papers from David Pierce's perspective

Ordered by how strongly the researchers David Pierce trusts endorse each paper. Same corpus, a different order for every researcher.

1. Learning Regular Sets from Queries and Counterexamples
2. Reinforcement Learning for Robots Using Neural Networks
3. Self-Organization and Associative Memory
4. Continual learning in reinforcement environments
5. Made-Up Minds: A Constructivist Approach to Artificial Intelligence
6. Learning from delayed rewards
7. Simplified neuron model as a principal component analyzer
8. Learning internal representations by error propagation
9. Active Exploration in Dynamic Environments
10. Dynamic Programming and Markov Processes

Their papers

• Map Learning with Uninterpreted Sensors and Effectors (1995)